Convergenz
We are looking for you to join our team as a
Data Analyst . This position focuses on data analysis for law enforcement support, requiring a combination of investigative data expertise, analytical skills, and the ability to work under high-pressure, mission-critical environments. This role will involve working with diverse data sets, ensuring accuracy and integrity while supporting ongoing criminal and civil investigations.
Our ideal candidate has a blend of technical acumen, attention to detail, and the ability to engage with law enforcement agencies. We are looking for more than just a "Data Analyst"-this role requires a technologist with excellent communication skills, customer service, and a passion for data and problem-solving.
Key Responsibilities:
Data Analysis and Trend Recognition:
Compile and analyze data from multiple sources, identifying trends across various data sets, locations, and targets. Data Accuracy and Assessment:
Monitor data for accuracy, integrity, authenticity, and relevancy. Identify intelligence gaps and assess data viability for investigative purposes. Investigative Support:
Collaborate with teams to examine data gathered from criminal and civil investigations, developing methodologies to exploit investigative information. Quality Control & Reporting:
Participate in the development of work products, conducting periodic progress reviews and ensuring quality control of findings. Regularly report findings to lead personnel. Data Entry:
Perform data entry from both hard and soft copies into large-scale data processing systems, utilizing tools like optical character readers, scanners, and digital cameras as appropriate. Law Enforcement Support:
Provide critical law enforcement support, interacting with various agencies through multiple channels of communication, while managing data under tight timelines in a high-pressure environment. Data Visualization and Tools:
Leverage
MS Excel, Power BI , or similar tools to design and build formulas, charts, pivot tables, and manipulate unstructured data from different platforms.
Data Analyst . This position focuses on data analysis for law enforcement support, requiring a combination of investigative data expertise, analytical skills, and the ability to work under high-pressure, mission-critical environments. This role will involve working with diverse data sets, ensuring accuracy and integrity while supporting ongoing criminal and civil investigations.
Our ideal candidate has a blend of technical acumen, attention to detail, and the ability to engage with law enforcement agencies. We are looking for more than just a "Data Analyst"-this role requires a technologist with excellent communication skills, customer service, and a passion for data and problem-solving.
Key Responsibilities:
Data Analysis and Trend Recognition:
Compile and analyze data from multiple sources, identifying trends across various data sets, locations, and targets. Data Accuracy and Assessment:
Monitor data for accuracy, integrity, authenticity, and relevancy. Identify intelligence gaps and assess data viability for investigative purposes. Investigative Support:
Collaborate with teams to examine data gathered from criminal and civil investigations, developing methodologies to exploit investigative information. Quality Control & Reporting:
Participate in the development of work products, conducting periodic progress reviews and ensuring quality control of findings. Regularly report findings to lead personnel. Data Entry:
Perform data entry from both hard and soft copies into large-scale data processing systems, utilizing tools like optical character readers, scanners, and digital cameras as appropriate. Law Enforcement Support:
Provide critical law enforcement support, interacting with various agencies through multiple channels of communication, while managing data under tight timelines in a high-pressure environment. Data Visualization and Tools:
Leverage
MS Excel, Power BI , or similar tools to design and build formulas, charts, pivot tables, and manipulate unstructured data from different platforms.